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IIH-MSP 2009 - 2009 5th International Conference on Intelligent information Hiding and Multimedia Signal Processing

作者： Lee, Chin-Feng Chen, Hsing-Ling Department of Information Management Chaoyang University of Technology 168 Jifong E. Rd. Wufong Township Taichung County 41349 Taiwan Graduate Institute of Informatics Doctoral Program Chaoyang University of Technology 168 Jifong E. Rd. Wufong Township Taichung County 41349 Taiwan

ISBN: (纸本)9780769537627

Since networks have progressed remarkably, there is countless information available on the World Wide Web. Generally, this information is formatted as an HTML document. Hence, this paper provides a data concealment scheme for HTML documents based on color code. Our proposed scheme not only avoids increasing the cover file size but also prevents the steganalytic techniques to detect. In addition, the extraction secret data will be meaningless without the assistance of secret key provided. © 2009 IEEE.

关键词： HTML

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Selective Diary of Conferences, Exhibitions, and Courses

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World Patent information 2010年第3期32卷 271-273页

作者： Michael Blackman Editor-in-Chief Editor’s notes: 1. The most up-to-date version of the selective diary is available online on ScienceDirect. 2. If you produce or have access to suitable information for this section please include me in your regular mailings (at mblackmanwpi@tiscali.co.uk). Once again the conference listings at the IP Menu site (***) and the PIUG site (***) have been particularly valuable in compiling the selective diary in Section 1. 1. Selective diary of conferences and exhibitions 2010 Patent & Innovation (Applied Econometrics Association/***) 21–22 January 2010 Melbourne Australia PIUG 2010 Boston Biotechnology Meeting “Managing biosequences: retrieval to results” 10 February 2010 Cambridge MA USA IPC User Seminar (WIPO) February 2010 IPI-ConfEx “Best practices in patent information management and searching techniques” 7–10 March 2010 Lisbon Portugal 239th American Chemical Society National Meeting and Exposition 21–25 March 2010 San Francisco CA USA Search Matters (EPO) Late March 2010 The Hague Netherlands European Patent Forum and PATINNOVA April 2010 PIUG Annual Conference 1–6 May 2010 Baltimore USA Patlib Conference 12–14 May 2010 Dresden Germany 132nd International Trademark Association Annual Meeting (INTA) 22–26 May 2010 Boston Massachusetts USA 29th European Community Trademarks Association Annual Conference (ECTA) 16–19 June 2010 Barcelona Spain 1st Information Retrieval Facility Conference 31st May 2010 Vienna Austria 3rd Information Retrieval Facility Symposium “Benchmarking Relevance” 1–4 June 2010 Vienna Austria 240th American Chemical Society National Meeting and Exposition 22–26 August 2010 Boston Massachusetts USA 42nd World Intellectual Property Congress (AIPPI) 1–6 October 2010 Paris France PIUG 2010 Northeast Conference October 2010 ICIC 2010 (The International Conference on Trends for Scientific Information Professionals – Infonortics) October 2010 Vienna Austria 3rd International CIKM Workshop on P

1. The most up-to-date version of the selective diary is available online on ScienceDirect. 2. If you produce or have access to suitable information for this section, please include me in your regular mailings. Once again, the conference listings at the IP Menu site and the PIUG site have been particularly valuable in compiling the selective diary in Section 1.

关键词： Access LIST Byways Anatomic Site Exhibitions Curriculum

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Leveraging competitiveness and economic growth through linking innovation systems to wealth creation in emerging countries

Leveraging competitiveness and economic growth through linki...

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Portland International Conference on management of Engineering and technology (PICMET)

作者： Carlos Scheel Jaime Parada EGADE Graduate School of Business Management Monterrey Institute of Technology Monterrey Mexico Institute of Innovation and Technology Transference of the State of Nuevo Leon Council for the Monterrey-City of Knowledge Program Monterrey Mexico

Most industrialized countries have been able to insert innovation into their national agendas, leveraging competitiveness, economic growth and social development. Well structured national innovation systems run across all the innovation value chain: from the transfer of ideas or inventions, to their commercialization as high value and differentiated products or services, producing high economic and social impacts In developing countries, the circumstances are quite different. There are weak liaisons, low trust and poor association between economic generators (companies) and their supporting institutions (government, federations, banks and academies). Regions are not electronically prepared (e-readiness) to support the infrastructure required for the effective formation of clusters (e-readiness). Innovation is not perceived as an asset, and high value entrepreneurship is not a common finding in the entrepreneurial profiles of most professionals. There are no world class industrial enabling conditions, nor high value core capabilities, and the digital economies are creating large digital development divides instead of business opportunities. In general, the economic gap between rich countries and poor ones widens every day. To help alleviate this situation, we have developed the WIT Model (Wealth creation through Innovation and enabling Technologies). This model has been designed to create the necessary and sufficient enabling conditions and core capabilities to empower developing regions to transform their scarce resources and hostile conditions, into attractive regions with competitive industries and innovative companies, capable of producing great added and differential values, strongly interrelated with their regional social capital, so that they can compete globally as extended networks of value, and share their economic value among their local communities. Several cases of application of the model are shown, specially the current project of the Institute for Inn

关键词： Technological innovation Economics Biological system modeling Business Cities and towns Industries Transforms

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A business process improvement framework to facilitate superior SME operations

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International Journal of Networking and Virtual Organisations 2008年第2期5卷 155-165页

作者： Khan, Zulfiqar Bali, Rajeev K. Wickramasinghe, Nilmini Department of Knowledge and Information Management Faculty of Engineering and Computing Coventry University Priory Street Coventry CV1 5FB United Kingdom Stuart Graduate School of Business Illinois Institute of Technology 565 West Adams Street Chicago IL 60661 United States Department of Knowledge and Information Management Coventry University United Kingdom

The present climate that UK companies face is quite volatile. Organisations are now focusing on their core competencies (doing what they are best at) and outsourcing most other activities. Administration functions of some service organisations are also being outsourced to specialists here in the UK and abroad. In order that UK organisations achieve world class levels of competitiveness the DTI's UK Manufacturing Strategy identified an urgent need for the systematic implementation of 'best practices' such as lean practices and other World Class Manufacturing (WCM) methodologies. The paper uses a case study methodology to test and analyse a Small and Medium Enterprise (SME) specific framework. This case study is used to test and validate the Business Process Improvement (BPI) framework. Copyright © 2008 Inderscience Enterprises Ltd.

关键词： Competitive intelligence

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Seeking knowledge in a social world: Epistemological pathways

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Proceedings of the Association for information Science and technology 2008年第1期44卷 1-7页

作者： Eric M. Meyers Theresa Dirndorfer Anderson Olof Sundin Kris Unsworth Moderator The Information School University of Washington Mary Gates Hall Suite 370 Box 352840 Seattle WA 98195-2840 Information and Knowledge Management Program Faculty of Humanities and Social Sciences University of Technology Sydney (UTS) Australia The Swedish School of Library and Information Science University College of Borås Sweden The Information School University of Washington

Epistemology – the study of knowledge and knowing – is of central concern to information science (Budd, 2001 ; Dick, 2002 ; Hjørland, 2002 ). Jesse Shera, who coined the term social epistemology with Margaret Egan, suggested that information science is intimately connected to the “production, flow, integration and consumption of all forms of communicated thought throughout the entire social fabric” (1970: 86). Aiding people in the acquisition of knowledge thus becomes the sine qua non of information services and technologies (Fallis, 2006 ). As social computing and advances in information and communications technologies (ICTs) change the way we seek and use information personally and professionally, it becomes critical that information scientists understand how social processes influence knowledge acquisition. This panel explores empirically and theoretically how people seek and construct knowledge in a social world.

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Recommending mobile content using content diffusion and user preference transition

Recommending mobile content using content diffusion and user...

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2008 International Conference on e-Learning, e-Business, Enterprise information Systems, and e-Government, EEE 2008

作者： Lee, Tong Queue Lee, Eunchang Park, Young Park, Yongtae Department of Mobile Internet Dongyang Technical College Seoul Korea Republic of Graduate Program in Technology and Management Seoul National University Seoul Korea Republic of Department of Computer Science and Information Systems Bradley University Peoria IL United States Department of Industrial Engineering Seoul National University Seoul Korea Republic of

ISBN: (纸本)1601320639

Recommendation accuracy is especially important in mobile e-commerce environments due to the limited screen size of mobile devices and relatively expensive connection costs. Mobile content tends to be fashionable and are geared for young users. This paper presents a novel method of building a more accurate recommender system for mobile content in a mobile ecommerce environment. The method is based on collaborative filtering, and models content diffusion and user preference transition and incorporates them in constructing pseudo ratings from implicit feedback data. In a variety of experiments, recommender systems based on the method showed significantly better recommendation accuracy than a pure collaborative filtering-based recommender system.

关键词： Collaborative filtering

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Cascade of genetic algorithm and decision tree for cancer classification on gene expression data

Cascade of genetic algorithm and decision tree for cancer cl...

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37th International Conference on Computers and Industrial Engineering 2007

作者： Yeh, Jinn-Yi Chang, Der-Ming Department of Management Information Systems National Chiayi University Taiwan Department and Graduate Program of BioIndustry Technology Da-Yeh University Taiwan

ISBN: (纸本)9781627486811

Cancer classification through gene expression data analysis has emerged as an active area of research recently. Gene expression is the process of transcribing a gene's DNA sequence into RNA. A gene's expression level indicates the approximate number of copies of that gene's RNA produced in a cell. This is thought to correlate with the amount of the corresponding protein made. The expression of a gene provides a measure of activity of a gene under certain biochemical conditions. For example, cancers are usually reflected in the change of the expression values of certain genes. Recent studies on molecular level classification of tissues have produced remarkable results, and indicated that gene expression assays could significantly aid in the development of efficient cancer diagnosis and classification platforms. However, cancer classification based on the DNA array data is still a difficult problem. The main challenge is the overwhelming number of genes relative to the number of training samples. This implies that we must deal with a huge number of irrelevant genes. An efficient algorithm is required to reduce the computational overhead. The other challenge is from the presence of noise inherent in the data set. It makes accurate classification of data more difficult when the sample size is small. This paper applies genetic algorithms (GA) for selecting a group of relevant genes from cancer microarray data. Then the decision tree based cancer classifier is built on top of these selected genes. The performance of this approach is evaluated by comparing with other gene selection methods (e.g., t-statistics, GS method, and information gain) using the publicly available gene expression data set such as Colon, Leukemia, Lymphoma, Lung and central nervous system (CNS). Experimental results indicate that the cascade of GA and decision tree has the highest accuracy rate among different methods.

关键词： Genetic algorithms

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Applying data mining techniques for cancer classification from gene expression data

Applying data mining techniques for cancer classification fr...

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2nd International Conference on Convergent information technology, ICCIT 07

作者： Yeh, Jinn-Yi Wu, Tai-Shi Wu, Min-Che Chang, Der-Ming Department of Management Information Systems National Chiayi University Taiwan Department of Business Administration National Taipei University Taiwan Department and Graduate Program of Biolndustry Technology Da-Yeh University Taiwan

ISBN: (纸本)0769530389

Recent studies on molecular level classification of tissues have produced remarkable results, and indicated that gene expression assays could significantly aid in the development of efficient cancer diagnosis and classification platforms. However, cancer classification based on the DNA array data is still a difficult problem. The main challenge is the overwhelming number of genes relative to the number of training samples. It makes accurate classification of data more difficult. This paper applies genetic algorithms (GA) with an initial solution provided by t-statistics (t-GA) for selecting a group of relevant genes from cancer microarray data. The decision tree based cancer classifier is then built on top of these selected genes. The performance of this approach is evaluated by comparing with other gene selection methods using the publicly available gene expression datasets. Experimental results indicate that t-GA has the highest accurate rate among different methods. The Z-score figure also shows that the gene selection operation provided by t-GA is reproducible. © 2007 IEEE.

关键词： Genetic algorithms

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Hybrid neural systems for large scale credit risk assessment applications

Hybrid neural systems for large scale credit risk assessment...

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作者： De Amorim, B.P. Vasconcelos, G.C. Brasil, L.M. Center for Informatics - CIn Federal University of Pernambuco UFPE Recife PE Brazil Post-Graduation Program in Knowledge Management and Information Technology Catholic University of Brasilia UCB Brasília DF Brazil

Hybrid Neural Systems that integrate symbolic algorithms or fuzzysystems to Artificial Neural Networks (ANN) are a potential alternativeto the more traditional ANN models. However, in contrast with the ANNmodels, these systems have not been yet fully explored from a practicalviewpoint to show their effectiveness in large scale applications. Thispaper presents an extensive comparative analysis of the neuro-fuzzymodels FWD (Feature-Weighted Detector) and FuNN (Fuzzy Neural Network),together with their rule extraction techniques in a large-scale *** aspects are considered: generalization performance of the models,and the interpretation and explanation qualities of the extractedknowledge. The experiments are conducted in the context of a large scalecredit risk assessment application in a real-world operation of aBrazilian financial institution. The results attained are compared tothose observed with multi-layer perceptron networks. © 2007 - IOS Press and the authors. All rights reserved.

关键词： Neural networks

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Primates in Peril: The World's 25 most endangered primates 20082010

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Primate Conservation 2009年第1期24卷 1-57页

作者： Mittermeier, Russell A. Wallis, Janette Rylands, Anthony B. Ganzhorn, Jörg U. Oates, John F. Williamson, Elizabeth A. Palacios, Erwin Heymann, Eckhard W. Kierulff, M. Cecília M. Yongcheng, Long Supriatna, Jatna Roos, Christian Walker, Sally Cortés-Ortiz, Liliana Schwitzer, Christoph Bearder, Simon K. Bergl, Richard Bracebridge, Claire E. Brockelman, Warren Y. Butynski, Thomas M. Cornejo, Fanny M. Das, Jayantha Davenport, Tim R. B. De Luca, Daniela W. DeLuycker, Anneke M. Dolch, Rainer Hai, Dong Thanh Dunn, Andrew Peng-Fei, Fan Geissman, Thomas Guillen, Rosamira Long, Ha Thang Honess, Paul E. Islam, Awar Johnson, Steig Jones, Trevor Lamilla, Iader Larney, Eileen Quyet, Le Khac Sanchez, Karmele Llano Yoncheng, Long Louis Jr., Edward E. MacHaga, Sophy J. Martin, Sara K. Mbora, David McGraw, W. Scott Moisson, Pierre Molur, Sanjay Morales-Jiménez, Alba Lucia Morgan, Bethan Mpunga, Noah E. Nadler, Tilo Nekaris, K. Anna I. Nicholas, Aaron Nijman, Vincent Nkembi, Louis Pacheco, Victor Paciulli, Lisa M. Patel, Erik R. Perkin, Andrew Thuc, Phan Duy Quintana, Heidi Rabarivola, Clment J. Rafaliarison, Radoniana R. Raffel, Martina Ralainasolo, Fidimalala Randriatahina, Guy H. Ratsimbazafy, Jonah Ravoarimanana, Iary B. Rudran, Rasanayagam Rumpler, Yves Salim, Agus Savage, Anne Schrudde, Daniela Schwitzer, Nora Shekelle, Myron Singleton, Ian Soto, Luis Stevens, Nancy Sunderland-Groves, Jacqueline Thorn, James S. Urbani, Bernardo Volampeno, Sylviane N. M. Wanasinghe, Ananda Warren, Ymke Weerakoon, Kanchana Werre, J. Lodewijk Wich, Serge A. Winarti, Indah Wright, Patricia C. Andriamaharoa, Hubert Zaramody, Alphonse Carretero-Pinzon, Xyomara Ruiz-Garcia, Manuel Defler, Thomas R. Missouri Botanical Garden Research and Conservation Madagascar Program Antananarivo 101 B.P. 3391 Madagascar Department of Anthropology School of Social Science and Law Oxford Brookes University Oxford 0X3 OBP United Kingdom North Carolina Zoological Park Asheboro NC 27205 4401 Zoo Parkway United States Wildlife Conservation Society Mbeya PO Box 1475 Tanzania Applied Ecology Group Department of Environmental and Geographical Sciences Manchester Metropolitan University Manchester Ml 5GD Chester Street United Kingdom Center for Conservation Biology Institute of Science and Technology for Research and Development Mahidol University Salaya Nakhon Pathom 73170 Phuttthamon-thon 4 Road Thailand Bioko Biodiversity Protection Program Drexel University 10400 Nanyuki PO Box 149 Kenya Museo de Historia Natural Universidad Nacional Mayor de San Marcos Lima 11 Av. Arenales 1256 Peru Museum of Zoology Department of Ecology and Evolutionary Biology University of Michigan Ann Arbor MI 48109-1079 138 Museums Annex 1109 Geddes Avenue United States Wildlife Areas Development and Welfare Trust Guwahati Assam 781 001 M.G. Road India Department of Anthropology Washington University St. Louis MO 63130 United States Prolemur Research Project Association Mitsinjo Andasibe Madagascar Department of Wildlife Management Faculty of Forest Resources and Environmental Management Vietnam Forestry Uiversity Xuan Mai Chuong My Hanoi Viet Nam Wildlife Conservation Society Calabar Cross River State GPO Box 796 Nigeria Kunming Institute of Zoology Chinese Academy of Sciences Kunming Graduate School of the Chinese Academy of Sciences Beijing China Jingdong Nature Reserve Management Bureau Jingdong China Institute of Zoology Ecology and Conservation 20146 Hamburg Martin Luther King Platz 3 Germany Anthropological Institute University Zurich-Irchel CH-8057 Zurich Winterthurerstr. 190 Switzerland Fundacion Proyecto Titi Barranquilla Carrera 56 # 68-85 Colombia Wildlife Research

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